Title :
Minimum-BER linear-combiner DFE
Author :
Chen, S. ; Chng, E.S. ; Mulgrew, B. ; Gibson, Garth
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Portsmouth, UK
Abstract :
The paper derives a minimum bit error rate (BER) solution for the decision feedback equaliser (DFE) that employs a linear combination of the channel observations and the past decisions. We show that by using a geometric translation the DFE is reduced to a simpler linear equaliser. A BER expression for the linear equaliser is obtained under the assumption of linearly separable decision regions, and a method is proposed to optimally set the linear-combiner coefficients of the DFE. This minimum BER solution is superior to the usual minimum mean square error (MSE) solution. The channel is modelled as a finite impulse response (FIR) filter
Keywords :
FIR filters; adaptive equalisers; decision feedback equalisers; error statistics; filtering theory; telecommunication channels; FIR filter; MMSE solution; channel observations; decision feedback equaliser; finite impulse response filter; geometric translation; linear equaliser; linear-combiner coefficients; linearly separable decision regions; minimum BER linear combiner DFE; minimum bit error rate; minimum mean square error solution; past decisions; Agricultural engineering; Bayesian methods; Bit error rate; Decision feedback equalizers; Finite impulse response filter; Mean square error methods; Nonlinear distortion; Signal to noise ratio; State feedback; Statistics;
Conference_Titel :
Communications, 1996. ICC '96, Conference Record, Converging Technologies for Tomorrow's Applications. 1996 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
0-7803-3250-4
DOI :
10.1109/ICC.1996.541394
